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arXiv · 2208.00522

Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building

Angan Mitra·Nguyen Kim Thang·Tuan-Anh Nguyen·Denis Trystram·Paul Youssef
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Abstract

The design of decentralized learning algorithms is important in the fast-growing world in which data are distributed over participants with limited local computation resources and communication. In this direction, we propose an online algorithm minimizing non-convex loss functions aggregated from individual data/models distributed over a network. We provide the theoretical performance guarantee of our algorithm and demonstrate its utility on a real life smart building.

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Angan Mitra, Nguyen Kim Thang, Tuan-Anh Nguyen, Denis Trystram, Paul Youssef. 2022-07-31. Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building. https://arxiv.org/abs/2208.00522

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